Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- Sweden
- France
- Germany
- Belgium
- Poland
- China
- Austria
- Spain
- Australia
- Canada
- Netherlands
- Hong Kong
- Denmark
- Singapore
- Italy
- India
- Portugal
- Czech
- Latvia
- Cyprus
- Ireland
- Luxembourg
- Andorra
- Lithuania
- South Africa
- Bulgaria
- Estonia
- United Arab Emirates
- Armenia
- New Zealand
- Norway
- Saudi Arabia
- Switzerland
- Barbados
- Croatia
- Europe
- Greece
- Japan
- Malta
- Morocco
- Slovenia
- Worldwide
- 34 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Mathematics
- Business
- Social Sciences
- Arts and Literature
- Psychology
- Education
- Humanities
- Chemistry
- Linguistics
- Electrical Engineering
- Materials Science
- Environment
- Physics
- Design
- Earth Sciences
- Sports and Recreation
- Philosophy
- Law
- 14 more »
- « less
-
countermeasures, and cloud security concepts. Candidates should possess a PhD or equivalent experience, ideally in computer or information science and preferably with a track record in the delivery of study modules
-
of quantum mechanics and statistical mechanics. The Computational Biochemistry group consists currently of eight coworkers and combines quantum chemistry, statistical mechanics and machine learning with
-
, energy consumption, and packet loss. The use of distributed machine learning provides a relevant solution to mitigate the lack of communication reliability [3][4]. This PhD proposes to guide the learning
-
or more of the following areas: AI and machine learning, natural language processing, large language models (LLM), experience in designing prompts, fine-tuning LLMs, or distributed systems. Good knowledge
-
of radiance data from new hyperspectral infrared instruments such as IASI-NG, MTG-IRS Enhancement of CrIS radiance assimilation algorithm are highly encouraged. - Use machine learning methods to cope with model
-
being the professional development of our technicians. Prior technicians have successfully pursued a variety of subsequent career directions including obtaining MDs, PhDs, MD-PhDs, and direct entry
-
the design of antibody modalities Documented experience from cancer-related research Documented research experience in AI/machine learning/deep learning Documented experience in the development of therapies
-
at KTH Royal Institute of Technology is seeking a highly motivated doctoral student with a strong background and interest in spatial AI, navigation, sensor fusion, optimal estimation, and machine learning
-
, Technology and Information in Human-Computer Interaction (HCI), with a focus on responsible computing. The successful candidate will have an interest in online safety, including areas such as social media
-
Research and Imaging Centre (BRIC; https://www.plymouth.ac.uk/research/psychology/brain-research-and-imaging-centre ) . TARAs benefit from waived study fees and will work towards a PhD in an area of